모폴로지 필터링 기반 센서 패턴 노이즈를 이용한 디지털 동영상 획득 장치 판별 기술 = Digital Video Source Identification Using Sensor Pattern Noise with Morphology Filtering

다국어 초록 (Multilingual Abstract)

With the advance of Internet Technology, various social network services are created and used by users. Especially, the use of smart devices makes that multimedia contents can be used and distributed on social network services. However, since the crime rate also is increased by users with illegal purposes, there are needs to protect contents and block illegal usage of contents with multimedia forensics. In this paper, we propose a multimedia forensic technique which is identifying the video source. First, the scheme to acquire the sensor pattern noise (SPN) using morphology filtering is presented, which comes from the imperfection of photon detector. Using this scheme, the SPN of reference videos from the reference device is estimated and the SPN of an unknown video is estimated. Then, the similarity between two SPNs is measured to identify whether the unknown video is acquired using the reference device. For the performance analysis of the proposed technique, 30 devices including DSLR camera, compact camera, camcorder, action cam and smart phone are tested and quantitatively analyzed. Based on the results, the proposed technique can achieve the 96% accuracy in identification.

참고문헌 (Reference)

1 B. Mahdian, "Using Noise Inconsistencies for Blind Image Forensics" 27 (27): 1497-1503, 2009

2 M. Chen, "Source digital camcorder identification using ccd photo response non-uniformity" 1G-1H, 2007

3 M. Kirchner, "On Resampling Detection in Recompressed Images" 21-25, 2009

4 M. C. Stamm, "Forensic Detection of Image Manipulation Using Statistical Intrinsic Fingerprints" 5 (5): 492-506, 2010

5 A. C. Popescu, "Exposing digital forgeries in color filter array interpolated images" 53 (53): 3948-3959, 2005

6 H. Farid, "Exposing Digital Forgeries in Scientific Images" 29-36, 2006

7 A. C. Popescu, "Exposing Digital Forgeries by Detecting Traces of Re-sampling" 53 (53): 758-767, 2005

8 J. Lukas, "Digital camera identification from sensor pattern noise" 1 (1): 205-214, 2006

9 J. Lukáš, "Detecting Digital Image Forgeries Using Sensor Pattern Noise" 2006

10 T. Gloe, "Can We Trust Digital Image Forensics?" 78-86, 2007